Evolving GeneChip Correlation Predictors on Parallel Graphics Hardware

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "W. B. Langdon",
  title =        "Evolving {GeneChip} Correlation Predictors on Parallel
                 Graphics Hardware",
  booktitle =    "2008 IEEE World Congress on Computational
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "4152--4157",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, GPU,
                 bioinformatics, microarray, performance",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0881.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2008_CIGPU2.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2008_CIGPU2.ps.gz",
  DOI =          "doi:10.1109/CEC.2008.4631364",
  size =         "6 pages",
  abstract =     "A GPU is used to datamine five million correlations
                 between probes within Affymetrix HG-U133A probesets
                 across 6685 human tissue samples from NCBI's GEO
                 database. These concordances are used as machine
                 learning training data for genetic programming running
                 on a Linux PC with a RapidMind OpenGL GLSL backend.
                 GPGPU is used to identify technological factors
                 influencing High Density Oligonuclotide Arrays (HDONA)
                 performance. GP suggests mismatch (PM/MM) and
                 Adenosine/Guanine ratio influence microarray quality.
                 Initial results hint that Watson-Crick probe self
                 hybridisation or folding is not important. Under
                 GPGPGPU an nVidia GeForce 8800 GTX interprets 300
                 million GP primitives/second (300 MGPops, approx 8
  notes =        "RapidMind OpenGL Shading Language (GLSL) back end

                 WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",

Genetic Programming entries for William B Langdon